{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ccdba3ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(196608,) 196608\n",
      "174 174\n",
      "88 88\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2 as cv\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "img = cv.imread('../data/home.jpg',0)\n",
    "h,w = img.shape[0],img.shape[1]\n",
    "print(img.ravel().shape, w*h)\n",
    "\n",
    "l = img.ravel().shape[0]\n",
    "print(img.ravel()[l-1], img[h-1,w-1])\n",
    "print(img.ravel()[0], img[0,0])\n",
    "\n",
    "histSize = 256\n",
    "ranges   = [0,256]\n",
    "plt.hist(img.ravel(), histSize,ranges)\n",
    "plt.show()\n",
    "\n",
    "cv.imshow(\"img\", img)\n",
    "cv.waitKey(0)\n",
    "\n",
    "cv.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a4385aac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jzDvGmBj3+lj3+w3u7Rlex7rNvX6tMWZqHae0tCKKK4pJjE702eN3SjsYY5iUMYnUuNSgefztYtuREBWeHv/ixbpsanwfrMffmvHF4y8DjhWRQ4GRwAnGmAnAg8DfRaQ/kAtc5t7/MiDXvf7v7v0wxgwFzgWGAScATxtTS7UuS6ui2uNvZIzfITk2OSgx/oKygrDu3M3N1dh+QjOmNIiLg4ICuOkm2LfPf7ZZgk+Dwi9KkftttPtPgGMBJ8/uVeA09+vp7ve4t082WpVrOvC2iJSJyGZgAzDOH1/CEroUlxeTGNOwx987pTfREdEM6jSoxvqU2JSghnrCVfjz8iA1tXnHiIuDZcvg0Ufhq6/8YZUlVPApxm+MiTTGLAX2AF8CG4E8Eal077Id6OF+3QPIBHBvzwc6eq+v5TPe57rSGLPIGLOozlm2Fi7UkSmWkMfXGH+vlF7k3ZrHEb1qxiZSYlMoKCto0ak2XeKiqLyoOquntLIUl7ha7Pz+wB/C79TrASgubt6xLKGFT8IvIlUiMhLoiXrpgwNlkIg8JyJjRGRM59qmBpo/XwOXM2cGygSLH9lfsZ+EqIazeoBap1pMiUuhSqpa1OsuLleVczx+IKh1g5qCvzx+Byv8rYtGZfWISB4wBzgcSDXGOAPAegKOC74D6AXg3p4CZHuvr+UzvlFUBGefDZWVEOJz7lqU4goN9Tgx/uiI6EZ9Pjk2GaBFO3idypztYttVl5oIt3BPfr71+C1140tWT2djTKr7dTxwPLAafQA4wykvBj5wv/7Q/R739q9F2+kfAue6s376AAOAnxpl7erVsN09S1NubqM+aml5RMTnPP66cIq7tWSc36nM6e3xh5vw5+VBSkqDu9WL9fhbL76UbOgGvOrOwIkA/iMiHxtjVgFvG2PuAZYAL7r3fxF43RizAchBM3kQkZXGmP8Aq4BK4FoRqWqUteXlukxI0DvbEtI4+e+J0YkNxvjrwinn3JKZPY7HnxybTHGFKl44Cr/1+C110aDwi8gy4LBa1m+ilqwcESkFzqrjWPcC9zbeTDeO8KelWY8/DHDEsjkef1BCPWWeUI+gncrhJPwi/o/x7w+fr2/xgfAauesIf5cu1uMPA7yFv6E8/roISqinPLxDPUVF4HI1X/jHjoVf/QrS09Xjf+EFOPZYv5hoCTLhKfxpaVqMpLKy/v0tQcXJjvElj78ughHqcc7VLrYdidGJgOe7hAOOT9Rc4T/lFJg7F5KTVfh/+gm+/VYfKpbwJjyFv0sXXVqvP6Tx9vgToxM5sveRjO42ulHHqPb4gxHqiWlHu9h2us5rDt5Qx/lZNLdz1yExUYU/P19Fv6io9v02bYI1a/xzTktgCa96/LUJf6dOQTPHUj9Ox2hCdAKREZF8d+l3jT6GU8ohKKGe2HaUVWmVsqLyOtQuBMl3X6rmevwOjvBHugus5OVpK+BA/vAH2L3bMwGMJXQJT48/LU2XtoM3pHE8fidc0hQiIyJpF9OuZbN6ygoxGBKjE6sfPOEk/P4K9Th4e/zexz+QHTvU67eEPuEp/DbUExZ4h3qaQ0pcSosP4EqKScIYQ7sYd6inLPxCPf4W/oICz/EffBB++KHmfnv3Qk6OzQAKB8JT+K3HHxZ4d+42h+TY5BaP8Tux/ZjIGKIiotq0x5+QUNPjz8mBv/xFs3wcRDyD6TMzDz6GJbQIT+G3Hn9Y4DeP312oraVwKnOCzguQFJMUlsLv785dx+PfvFknedm61bNPUZHn52mFP/QJ785d6/GHNP4M9WTvz/aHST5RWF5YPXAMNLsn3LJ64uMhpnGZs3XiCL+TxrlunS69hd+7dNa2bf45ryVwhKfHn5IC0dHW4/cFlwsuvlirmrYwTlZPczp3QT3+vNI8P1jkGwVlBdWhHiAsPX5/hXlAhb+qSsM54BH+zEzPw8Bb+K3HH/qEn/BHREBUFLRvbz1+XygogNdeg9mzW/zU+yv2ExURRXRk4ypyHkinhE7s299yU0AVlnlCPaDCH24ev7+F3xtH+MvLYdcufW2FP7wIP+F32q+pqdbj9wWnulYQZs0uLi9utrcP0CWxC7mluZRXlfvBqoYpLC8Ma4/fHyWZvTlQ+J0CueAJ9zjC36mTCv/27dpKsIQm4Sv83h7/738PX34ZPLtCGWeYZRCE3ynJ3FzSEjWLa29xy8zBcKDH3y62XVgJf3a2/jz8xYHC740j/M6cvKNGwYIFkJGhDU1LaBLewp+Xp/V6/vlPeP/9oJoWsgRT+Cv9I/xdkrQzf3fx7mYfyxe8s3rAHeoJkzx+ER1E1aeP/47pLfzOzy9e56ep4fHHxsKQIdriqKqC77/3nw0W/xK+wp+aqh6/E+6xM3LVTrBDPc3M4QePx7+neE+zj9UQ5VXllFeV1wz1RIdPqCc7W4W3f3//HdNb+Hv31mV6uvpe3sLfubNne2IiLF7sPxss/iX80jkPDPXk5Oh7K/y10wpCPV0S3R5/UeA9fu8CbQ7hFOrZsEGX/fr575jewp+erudIS9N6/V9/DZdcoq2Mzp3hN7/Rmj67dsHDD0NJiad1YAkdwtfj79RJRd8JLlrhr51gevwVxX6N8beEx+9doM0hKSaJ4opiXBL69Ygd4fenx5/g9S9MT9dlWpq+XrsWXn0VvvtOf5Jdu8L112st/6oqWLbMf3ZY/Ef4Cn/nzppE7NzpVvhrJ8gevz+yepJikoiPim+RGH91Lf4DYvwQHjX5N24EYwIT4zcGevTQ12lpcMst8PjjcMghuq5zZ89nxozRpQ33hCbhG+px7jKnAHh2tj4IIsLrWRZwWkGoxxhDWmJaiwi/U/45NS61ep3zECgqL6rREghFNmyAXr1qTpvYXBzhT06GDh30dVoaHH64/onAjTfWFP5evbQFsGiR/+yw+I/wUsnahH/tWl26XJ54v8VDsDt3/eDxg2b2tESoxxkh3D7ekw/pePzhMIhrwwb/hnmgpvA74wOcOokA55+v4aC+fT3rjIGhQz0Nckto0XqEH2y4pzZagccPGudvic5dR/i9Pf5wqskfSOFPSald+Dt31vNec03Nz3Xt6hnZawktwl/4vV0KK/wHEyThFxGKyov8ks4JmtnTkh5/jVBPrCfUE8rk52uugz8zekCzdGJj1eMfMEDfDx5cc59u3bR8ljddu+qMXJbQI/xi/I7L4Uy56C1oewIvDGFHkEI9JZUlVLgqaghoc0hLTGNP8R5c4iLCBM5fcYTfmesXvEI9IT6Iy/GunQ5Yf5KYqB7/sGFa/inBh4Zc16667/79vu1vaTnC1+OPjvY8BLp316X1+A8mSB6/00nqLaDNoUtiF6qkitySwBbmyyvNIzE6sUZhuXAJ9WS7K1d37Oj/YycleebZ9VXEu3bVpfX6Q4/wFX7whHsGDtSlFf6DCZLH78yYlRLnJ+F3l23IKszyy/HqIq8076BWindWTygTSOF/9FH44x8b9xlH+G2cP/RoHcLftau2Q63wH0yQPP7aYuXNoX8H7bHckBPYNJG8soOFP1yyegIp/GeeCePGNe4zVvhDl9Yh/B066Gsr/AfTSkI9Aztqq25t9toG9mwetXn8NtTTNJyJ8qzwhx6tQ/g7dtT8Miv8B9NKQj3Jscl0TerKuux1fjleXdQm/NGR0cRGxoaF8EdFeWLxwaZzZ83nt8IferQO4Xc8fnuHHUyQPX5/hXoABnUcFBSPH8KjNHN2tv4UjAm2JUp0tCbf2Z9l6NF6hH/MGFi9GnbuDI5toYrj8VdUeCZIbQFqS4tsLgM7DgyKxw/uWbgqQt/jD5Uwj4PN5Q9NWo/wT5+uRUM++ig4toUqRUUeF9CZrL4FyC/LJ8JEVMfH/cGgjoPYt38fOSWBKc0hInUKfziUZt63zzO8JVSwo3dDk/ARfpdLZ9vyFn5nbHpGBgwfrsVC/ve/YFgXmlRWaojHGe/QguGe/NJ8kmOTMX6MOwzqNAggYF5/UXkRLnHRPu7geQvDJdQTih6/Ff7QI3yEv6JCl97CP2ECbNmiom8MnHYazJ4NhaH9A20xnDCPU1KxJYW/LN+v8X3wyuzZF5g4f30pqOEw4XooC79IsC2xeBM+wu+EKbyFHzwzQwBMmqT7rVrVYmaFNE7HrqMGLSj8eaV5fo3vA/RJ7UOEiQhYLn99wt8upl1I5/GLhKbwDxqkt92KFcG2xOJN+Au/N85DYNu2wNsTDjjC73j8paUtdur8sny/pXI6REdG06NdD7YVBOb/G84ef3Gx/kRCTfhPPFGXn3wSXDssNWldwu/M9OzMAN3WcUI9QfD480vz/e7xA6SnprM1bysi4veYe26p1gEKR+EPtcFbDt27w6hR8PHHwbbE4k2Dwm+M6WWMmWOMWWWMWWmMud69voMx5ktjzHr3sr17vTHGPGGM2WCMWWaMGeV1rIvd+683xlzcKEt9Ef7UVB29Yj1+5UCPP8xj/AC9U3qzLX8bb694m+6Pdfdr0bYGQz0h3LkbqsIPcPLJMH++x0ZL8PHF468EZojIUGACcK0xZihwKzBbRAYAs93vAU4EBrj/rgSeAX1QAHcA44FxwB3Ow8InfBF+UK/fevxKa/T4U9LJLMjk263fUlRexIo9/gseNxTqKasqo6Kqwm/n8yehLPynnKJJeTbTOnRoUPhFZKeI/Ox+XQisBnoA04FX3bu9Cpzmfj0deE2UH4FUY0w3YCrwpYjkiEgu8CVwgs+W+ir86enW4wdN6n7pJX3tjHdoIeEXkYDE+EGFv9JVyZebvgRg9b7Vfjt2dX2hWuyunnC9IjQnXA9l4R87VjOvX3st2JZYHBoV4zfGZACHAQuALiLiDJPdBbhLMtEDyPT62Hb3urrW+4b1+BvHX/6iYxpuvRVGjtR1LST8Tj58oEI9AJtyNwGweq//hL+grICE6ASiIg6en8iZhStUwz3r1+vSqYgZShgDF10Ec+Zo9rUl+Pgs/MaYJOA94AYRKfDeJiIC+CVT1xhzpTFmkTFm0V7vomuN8fhzc20u/44dMGIE3H+/zpsHLSb81QXaAtS5682a7DV+O3ZBWUF17f0DCcUKnS4XXHEFfPstvPMOHHmkpzsn1LjwQl3++9/BtcOi+CT8xphoVPTfEJH/ulfvdodwcC+deQ93AL28Pt7Tva6u9TUQkedEZIyIjOnshCigcR4/BDfcs3Kl/grz84NnQ2EhtHOLWEsLfz0hk+biePwAPdr18KvHX1heSHJs7aUtQ1H4162DF16AM87QW+6884JtUd1kZGhO/7JlwbbEAr5l9RjgRWC1iDzmtelDwMnMuRj4wGv9Re7snglAvjsk9DkwxRjT3t2pO8W9zjca4/FDcIV/zhyYNw8WLw6eDUEU/kAUaHNIikmiQ7y6tWcOPZOt+VspLvdP3L2grKA6pHMgTksglAZxzZ+vy+xsnQD9rLOCa09DdOigjXFL8PHF458IXAgca4xZ6v47CXgAON4Ysx44zv0e4FNgE7ABeB74HYCI5AB3Awvdf3e51/lGYz3+TZt8PrTf2eFuyDiB12AQROF38uHbx/uetNUY0lPS6ZrUlSN7Hwn4r3ZPQVlBWHn88+drBvN112nIx7uBHIqkplrhDxUO7sU6ABH5Hqir0tbkWvYX4No6jvUS8FJjDKzGV+Hv3h0GDIBnn4Wrr1ZXqKXZvl2X6wJbQrheiop0hmxoceHP3q8pJh3jA5Nics6wcygoK2BIpyEALMpaxGHdDmv2cQvLC+mV3KvWbaEq/BMmwJNPBtsS32jfPrg/CYuH1jVyFyAiAu69V4uDBKsnqY17/NklKvydEgJTI/iWI2/h3sn3MqTzEEZ0GcG9391LSUVJs49bn8cfalk9+fka158wIdiW+E779gH0+PfuhVtu8YxdWblSe5RbsBR5ONH6hB90ZugRI+Bf/wqsTXURbI/f5dIfQLCEf382URFRdYqov4gwEfzjhH+wNX8rj85/tNnHKywLn87dRYu0MNvhhwfbEt9JTYW8vADNB/Txx/DQQ/DEE/r+ww/V8fvllwCcLPxpncJvjBYICWQHb5GXAJSUwGOPqdiKeDz+TZu0Jn5L43g9QQr17Nu/jw7xHfxai78uJmVM4piMY/jPyv80+1j1pXMmRicCoSP8zkRzffoE1w5fKa8qp317Ff2iInCJi7PePYu3lr/lnxM4AwQeflibQ85v36YR1UrrFH6Anj311+FP4b3jDv374AN1X779Vtd/8gnMmAE33aQuzf79MGyYziEQjMFkzhgGx+OPiNBZuFsw1BOo+H5tTMqYxIo9K6qziZpCeVU5ZVVldXr8kRGRJEQnhExWj/NsT0wMrh2+MG/bPJLvT+bVypOh/SZyc+HDtR8ya9Us/rnwn/45ydatEB+vsaSXX/b87qzw10rrFn6Xy78Tfr70Etx1l4aSqqpgwQJd7xQbf/ZZeOUVfX3MMboMRpz/QOEH9fpbUvgTWk74J/aaiCAs2L6gycdwYvd1pXNCaFXodIQ/ISG4djTE/or9XPrBpbSPb8/68rlwwg3k5goPfK9JgD9u/7E6GaBZbN2qrfzu3WHpUuvxN0DrFf4e7moQTry9uZSVaQinRw8dF5+aCmvco0ZXrNARKr16wZ136jpH+IMR5w+28O/PDljHbm2M7zmeSBPJFxu/4LH5jzXJ8y8o08Ho9fVLhJLw79+vy1D3+J9f/Dzrc9bzxq/f4Pgu50PGN3y75TsW7FjAxYdejEtcfLHxi+afaMsWHcMzeDCsXl3T47fTfx1E6xX+nj116S/h37ZNb6B779WbauRIvcFAMwhGjoRzzvGM1h01ClJSPA+HlsTpf3Bi/NDyHn8LhnqSYpI4tOuhPPbjY8z4YgaP/tD4jl4nhFNXjN/ZNnvzbA555hC/loNuCsXFEB2tf6HM8j3LSUtM49g+xzKx+7EQW8iT62YQHxXPEyc+QaeETny64dPq/bcXbGdz7ubGnaSqSn/njvD/8ov+Bvr0gZwcyMry87cKf8JP+H290/0t/JvdN2OfPhozHzJERb2sTMM5w4bVHDrZvbvus9p/JQV8Jogev4iQvb9lhR803APQOaEzLyx5gTeWvcHMb2ZWb9+at5UlO5fU+XlfPf5dRbtYsWdFwCZ895Xi4tD39kGL6fVr3w+A4/prK3hjySJOHXQqybHJnDTgJD5a+1F1S+qyDy/jrHcbOQQ5K0v78jIy9Dfn3OennKJLG+45iPAR/tJSFf0IH03u2FHFzsmwaS5O1kBGhi6HDNGO3Llz1eMYPlzrz6anQ1qatkzaoPAXVxRTVlXWojF+gBmHz+Dl6S/z8vSX2VW0iwvev4A7v72TnJIcMvMzOeKlIzj9ndPr/Lwvwu8UnwPP6ORgES7CvzF3I/06qPD369oZdo0A4DeH/AaA3435Hfll+by05CVEhMVZi1mxZwWVrkYkZTi/Tcfjd7DCXyfhI/wlJdpr7yvGqNefmQmffurpDWsqmzfrg8fpO3BusHff1eWwYXrOO++E3/1O1w0dqp3L3qNW1q0LfB0hJ9QTBOEP9KjdukhPTeeSkZdwQv8TGJ42nP4d+gPwQ+YPnP7O6WQVZrE1f2udMXpfOne9J30JhVBPqHfsllWWkZmfWe3xJycD66aRJN2Y2m8qoP0zR/Q6gsd/fJztBdvJLsmmrKrM93DPsmWwxN2Sy8ioKfyHHqr9bsuX++9LtRJar/CDivRnn+ncb281M19482atA+SUgBii5QJ47z1dN3Cgvr/4Yk359N7H2+s//3y45prm2dIQjscfhBh/oEftNkRkRCSLr1zM0quWEmkieWLBEyzeubhaaOoK0fji8f/37P9y7VitRhJsj3///tD3+LfkbUEQ+rbvC2hjPXXpTH6Ts4bYqNjq/W4YfwOb8zbzxIInqtet2ruq4ROIwNFHww036PvevfU3n5Sk93tamg7ktB7/QYSP8JeWQlxc4z7Ts6enszUzs+a2u+/WfHxf2bKl5miZHj3Uo87JgRtv9AyS8qY24c/M9KR/BopgCr/j8bdwqMebmMgYEmMSOazbYXy56UuiI6K5/ajbAVizr/bOdl86d08fcjqPTtGO41Dw+ENd+J3JchyPH6B9ShTFOTUfricNOInYyFieWfRM9TqfhD87W8OtItClizqGxqjX37u3vh4xQn9/tnRDDRos0hYyNMXjdzp4oWasf/Nm+NvfNBRz6ql6gzTE5s0wfbrnvTE6UCQhAU48sfbPpKfrw2qV+yauqtKaIi6XumyBaqsXFqoqePeHJCWpHd7F2wKA4/G3dKinNib2msiirEVM6TeFsd3HEmEi6hR+x+N3SjPURWxULPFR8UH3+IuLNWkslNmYuxGgOsYPWq8nL6/mfokxiUzuO5lP139aXSRv5d6VDZ/ASdm85ZaaRYtuuskT7hwxQjt+16zR1xYgnDz+pgj/4MEal+/WrWZKlzP556pVvsX/iothzx5Px67DGWfULfqgIaBBgzzCn5PjKVQSyPz+2sR9xgzNcLr44to/4yf27d8HBNfjdzii1xEAnDX0LGKjYunbvm+9wp8YnUhkRMPVXNvHt7cevw9szNlIYnQiXRK7VK+rqzTztIHTABjRZQRDOw/1zeN3+srOPhtOO82z/pxz4LLL9LUj9jbcU4PwEv7GhnouvFDr5Ywd6xF+l0tH144ercLsS+x/6VJdOqGbxjB2rNbPraysOYp47drGH8tXvCtzOhx3nM6/+9//wq5dATu1E+pxJksJJqcNPo3nTnmO8w7RqakGdxpcd6inngJtB9I+rn1IePyhLvyb8jbRt33fGjWb6qrQOW3gNAyGkV1HMrTzUFbvW02Vq6r+EzgevzP5Um0MHKgZdlb4axA+wl9a2niPPypKwz3du3tCPQsXarz+hhvg+ONh1qyGj/PVVxramTSpkUYDU6ZoP8NPP2mrwaGlhR808wgObmv7kdzSXJJjk2udsLyliYmM4YrRVxATqYP+BncczLrsdbUKSkF53SWZD6R9fPCFP5CRQn+xNW8rGakZNdalpmrD85579Cft0CO5B19f/DV/PPyPDO40mNLKUnYUNpCKvXWrXoT6JhqOitL73gp/DcJH+JsS6nHo3h327dPOza+/1nVTp6o3vmmTxt7r46uvYMwYdVcay+TJGmv//HOPxx8ZGdgRvXUJvxMULigI2KlLKkqqK1mGGoM7Daasqoyt+QcXzissK6w3ldOb9nE21OMLe4r31AjzgIbiy8vhr3+Fb76puf+kjEl0iO9A93bdAdhZuLP+E2zdqt5+Q310w4Z5wq0WoC0JP2iI45tvdLBV584a+3e5anriB1JUBD/+qALeFDp00AfMF194zjNqVGA9/ro6cB3hD+Ak8KVVpcRFNTIk10I43ufWvIOFv75JWA4k2B6/SOgLv0tc7N2/l7TEtBrrL7/co8E769D1bknddHtRA8K/bVv9YR6HoUM1my6ADk+4ET7C35R0TgdH+Lduhe+/94RsnPUH1vJwubQTdN48Lb1cWakx8qYydaqGetav16bnhAkq/A21NJpKXR5/slvYAin8laU1crRDiV4pmjGSWZB50Lbdxbt9HnsQbI+/tFTFP5SFP680j0pX5UHCD+pvQT3C384t/L56/A3hhDiDMYo+RAkf4W+Ox++Mtv3gAw2OOpUz67oDt23TzJ+ZM+GNN9RTnjixaecGOOIIfZh89pkOKjn8cHXZFi1q+jHrI4ihntLK0PX4eyZrem9mfiaLshYxb9s8ACpdlWzJ21Ij37w+2se1p7C8kIqqioDZWh/hUIt/T7G2bmsT/vh4vRXrEv60xDQMpn6Pv7hYw7e+evxgwz1etA3hdzz7N97Q5VFH1Vx/oMe/YYMuv/pKO38vuaTprQ3Q0A5of0Jamnb4RkRoKYlAUFgYvFBPCAt/QnQCHeM7klmQyR8++wNXf3I1ANvyt1Hpqqwu89AQ7eO1r6c5E780h3AXflCfqy7hj4qIIi0xjV1F9WSfOamcvgh/nz76+13pw9iANkJ4CX9TxbdjR83n371bK2h2cjfpu3TRjqED70BH+EFn0brqqqad16FzZ60ZAir8HTtquCcQwl9WpjH+jrXk0TutgDYq/KDhnsyCTFbtXcX67PW4xMWGHP1/N8bjh+CVbXBq8YdyVk9zhB803FOvx+9Uyz1wbE1tREbqmB7r8VcTHsLvcmkqQFM9fmPUu4+Ohvvv96yPjlZRrs3jj4vTgSCnntq0/P0DGT1al13cWQ4nnaShHn/OEAba/AX9XgcSGaktgTYa6gHoldyLRVmLyC/Lp6xKi4htzNERpo31+IMV52/tHj9oB2+9MX4nK27QIN8MGjrUevxehIfwOwm/TRV+gN/+Fh58EPod4NXVdgdu2KD7vf124+r51IcT7klz/xCmTNHl3Ln+Ob7D3r26rE34QcM9bdnjT+5VLUqgRds25GwgPiq+ulOxIYLt8YeL8BtMnSO4u3bVJLu6JsfqltSAx792rbbca2vZ1saQIRoeam6V3lZC8EfZ+EJJiS6bE2f/299qX9+9e+0ef3/fvD+fOdDjd1oR3mElf9CQ8CcnB1T4yyrLiI0Mzawe8GT2OKzPWc/G3I30bd+XCOObH2Q9/obZU7yHjgkd6xzI162b/qwLCmqvOdStXTd2F+2mylVVexmNNWtqlmBuCMfh27rV09nbhmk7Hn9dHOjxu1ywcaP/hX/8eBXjww7T90lJ+hBoaeG3Hj+g5ZcToxOrPX5fwzzgKUdhPf662V28u84wD/iQ0pnUjSqpqq79dBBr1vge5gFPX4DTN9DGCQ/hdzz+QAh/9+7a5nRy6nfs0AfNgAH+PU/HjjqAy3s8QP/+wRH+thzjd3v8QzsPZUDHAazNXquzRPnYsQueUM/e4r189JGWgwngs/QgwqVzt1nC366eQVy5ufpbaozH75RUt8IPWOH3jN51BNMRYn97/LXRv7+2LvzJ3r3aiVtXeYkAh3pCXvjdHv+QTkMY0GEA3275ltLKUgZ38l1EYqNi6Znck015m7j/fh2X98UXgbL4YMLB4/dV+G++GS64oJbtSfUM4nJGvTdG+J16/Vb4gXARfifU05wYf104ufxOXrCT8uXMqBVI+vfXFobjwvmDvXu1dVHX3MRtPNTTM7knPZN7MiljEgM7DqSksoTR3UZz/ojzG3Wc/h36szRzPfPn6/tADcmojbAR/oSGhX/xYvjww1q21+fxOxk9jRF+YzTcY4UfCBfhD6THP2GCllH4z3/0/aJFGibxnsQlUDitik2b/HfMvXvrDvNAQEM9IkJZVVlIC390ZDSZN2Zy0aEXMbXfVA7veTjvn/M+CdGNi5v0b9+f9fs2EBenCVqffaazcH7/fYAM98IR/lAN9ZRXlZNXmlevx5+S4nlwFRYefEs6E/nklOQc/OE1azQV25ccfm/69LHC78YKf9euOonDyy/reRYv1kqcvszK1VycTAN/hnsaEv7kZG1hVPi/3EBZlU7tGMpZPd78Kv1X/HDZDwdl+vjCgI4DKInYy9FT87ngAh2OceaZcN55WtopkBQX60+hrkZdsHFG3HZJ6lLnPsZopvRDD+n77dtrbk+KSSLSRNaeObV2rfbBRTUyKdEKfzUheusoP//snrTBH+mc9XHNNTo71quv6iCPMWMCc54DcTx+f3bw+uLxQ0C8/tJKDcmFssfvL3om6P8u/bCNnHiiDsw+/ngVsNpCF/4k1Cdad6qfpqfUX05h8mQtWwUHC78xpu4qqI1N5XTo00fDnLXNBNPGCGnhF3HPDx7IdE7Qom3DhuncnS6XJ+c+0LRvr2Wb16/33zGDKPxllerxh4vwu1xN14DKPSr8KRnr6dRJ08M/+0zn+H7qKT8aWQvFxaEb5gHYkrcF4KBJWGrDiageKPxQx0xnFRXqKDUmldPBpnRWE9LCD27hD2SoB7TdefvtHjFsKY8f9IGzYoV/jlVZqS2XhkI9EJAO3nDz+GfNUuHJqSWM3BB712mYznTU1poxmkx1ySU6108gS79nZ9c/6VSwcYQ/PbXhAmpObkWtwl/b3MabNul93lSPH3QGvjZOeAl/oEI9oMXbBg/WmL9zN7YEI0botHDOJOzNob46PQ4BrNAZbsK/apWGTZry3F25JJGIou7sqawZphs5Upfr1jXfvrrYs8czADwU2ZK3hW5J3Xy6D2Ji9Lv47PE3JZXTwebyVxMewh/oUA+ou/bee/Duuy3Tsetw6KGa1uAPL6ShwVtgY/xeOPXxmjIL5s8/Q4qrP2uza86k5kQgAjnB2u7dnpJPociW/C0+hXkcevbUCbIOpFaPv7HF2WocsL3e/1b4Q1/4y8sJfKjHYehQOPLIwJ7jQEaM0KU/JoNujPAH0OMP1Rm4DqSpwv/dd5oDMCBxDD/v/Lm6bwM0USsiInDCLxIeHn9jhb82jz81NvVgj3/NGm2V11bgxxdsZg/gg/AbY14yxuwxxqzwWtfBGPOlMWa9e9nevd4YY54wxmwwxiwzxozy+szF7v3XG2Mu9tXA6lBPRITm7rY2hg/XFsYvvzT/WM74d2d0TG04ilHbL62ZhKvHv3q1/vmiB4sX60ya/fvDVSccSVlVGYt3Lq7eHhur2tKUVoQvFBXpzyFUPf4qVxXb8rf5Rfgdj1+8S3iuXdu0MI+DFX7AN4//FeCEA9bdCswWkQHAbPd7gBOBAe6/K4FnQB8UwB3AeGAccIfzsGiIauGPi2vZEExLkZioOcn+8Ph37NClM9VkbSQn64MhAC5puAn/LvcETytX6iCs886rf38RuP56vYRz58Iph+p0nM4Ujg6DBunlXbvWMyDcXzgPq1D1+LMKs6h0VTZa+PPy9KHmTfu49lRJFUXl7g0i+oRurvBv2VJ3Peg2QoPCLyJzgQPzHqYDr7pfvwqc5rX+NVF+BFKNMd2AqcCXIpIjIrnAlxz8MKmV6hh/oMM8wWTECPi//4NTTtF2fFPZsUNn2aptvl1vHGXyM+Em/Lt3a0MyM1M9zgULDhbqTZt0yuT16+F//4N58+CuuzSalpaYxsCOA/k+s+Zw3UGDtHN3/HhtGdx5p/9sdm6PUBX+xqRyOjiT011yiedhDF7lr51wz759mn/blPi+Q0aGOpL+ngApzGhqjL+LiDhFNHYBzm3YA/DuptnuXlfX+oMwxlxpjFlkjFkEXh5/axb+667T0Syffgr/+EfTj5OV5VtG0qBBGovws9fjjNwNB+EvLtY/p0q2c3v9978193v+eZg/H268Uf+GDtU5fRwm9prIvG3zcIknK2vQIPVVCgq0y+jOO/03ZsjRq1AN9TjTWDY0eMubadPg97+Hjz6Ce+7xrK+e8Mbp4G1ORo+DzewB/NC5KxqA85uCiMhzIjJGRMbAAaGe1srRR+twz+nT4dlnm160bceO+sM8DoMGqRLtq6PWeRMJJ4/fEdCjj9blxRdrw+u99zz7uFzwxhsat//kEx2k9a9/1awUMLHXRLJLslmf7RmE5+jSRRfBHXfo89VfNXxC3eN/fdnr9EruRb8Ovpe5Tk6GJ55Q32f2bM/6gzz+phRnOxAr/EDThX+3O4SDe+nEJ3YA3oVPerrX1bW+QdpEqMfhhht0NNEbbzTt874Kv/PD8XO4JxyF/9hjdXK2227TGP/336sIgb7OzNRGWJ8+8Mc/Hpz0Na7HOAAWZi2sXnf44XDrrfDAAxruiY2Fb77xr931JW4Fi2W7lzFnyxyuG3ddnTNv1cdxx6m2Ox29B3n8a9aoA9i7d9ONdEbvtvFBXE0V/g8BJzPnYuADr/UXubN7JgD57pDQ58AUY0x7d6fuFPe6BqlO52wLwn/UUdC3r7qXjcXl0qweXz1+CJjwh0ORNkdAu3XTUEzv3jBjBpx+unbgfvGFlm5KTNR68evWwaOPHnycIZ2HkBCdwMIdHuGPiYH779esw7g4Ff9vv22cfRtyNtDzsZ58vfnrg+zu0CE0E9wem/8Y8VHxXD7q8iZ93pmjyPH6a/X4Bw5sXnW6xESNk1mPv36MMW8B84FBxpjtxpjLgAeA440x64Hj3O8BPgU2ARuA54HfAYhIDnA3sND9d5d7XYO0iVCPgzEwaZImijd2JO++fVrHxJcYf3q6uqF+zjkMR4/fO2QSHQ1vvaUPg7vvhrff1lZAYmLdhSCjIqIY3W00P2X9VOe5Jk2CJUt867dfu28tG3I28OD3D7KjcAczvphRo/8gVHP4f975M6/98hpXj7m6emrKxjJ8uGryV1/p+1pj/M0J8zjYlE6fsnrOE5FuIhItIj1F5EURyRaRySIyQESOc0Tcnc1zrYj0E5FDRGSR13FeEpH+7r+XfTWwTYV6QL3+nBzPhDC+4kwY74vHHxmpntPy5Y23rx7CaQCXkz1yYCdpbCxcdZWGefbvhyuvbPhYY7uPZcnOJVRU1V7q+uSTNc6fkaEPk7oQEU544wQOffZQXlv2GoM6DmLprqW8s+Kd6n28R+26xMWF71/InM1zGjYyQJRXlfPuyne57MPL6JzYmTuOvqPJx4qIgBNP1HLNhYXQLrYdESZCPf6yMk2xak5Gj4MV/tAfuVtWhib4hnIdWn9y1FG6/OorLR9x/fUaa2go7u9LDr83xxyj8Yf9+3U+AD9k+JRWlhIVEdWk+G5Ls3u3TlRWW8jkyivVwx850rd6feN6jKOsqozle2p/kI4bBz/9pM7qzTe7w5deiGijdsmuJWzJ20J0RDQucfHJbz7h0C6H8qev/kRhWSFQ0+Nfu28t/172b2Z8MaPmIKfG8uabTRrQt2rvKsY+P5azZ53NhpwNPH3S06TENXFErZvf/U5F/9VXIcJEkBKboh7/L79oK3jIkGYdH1Dh37bNM892GyQ8hH/fPujUKdimtAwZGTqiZcYMOPtsePFFzfj5y1/q/5wj/L4WmDv5ZG1J3XabJpv7Ye7AUJ920ZusrLpDJt26wb//rQlWvowZHN9zPADfbPmmzn3GjNG4//btNZ/hn3+u5ZqSkuC8u/5LhIng17uXkfDyKhLK+vHMyc+wo2AHf5vzN6qqatr94/YfAX1gzN48u5az+kBODpx/vlanbQQiwgX/vYCdhTt57+z3yL0llzOGntE0G7wYN077RJ58UnW+uib/a69pc+wEn4b/1E9Ghlb4DMDo9XAh5IW/vNSldWjbivAbo2mdHTrodJB5eZoTuHVr/UHirCz9bNeuvp3n6KO1FeWksCxcWP/+PlBWGdrTLjosW6b95xMn1r3POeeoAPlCRmoGY7qP4ZWlr9TreU+Zoq2Im2+GF17Qf9nZZ6tz87vfwYbo94nIPIqXH+9NweYB3Hsv9ORwLhh+KU8veprP5xRSOH0qRcOeBGDBjgWkxKbQLakb9313XyOugBdOB/+sWZ45HX3g0/WfsmTXEh46/iF+PeTXfm3lXXmldqavXKlTMBbk7dan5RlnaKG15mJTOkNb+CMiwBTka5MsFPPXAsXjj2sQ+qyzNOYwdqyur0+ct29XV9DXdI/YWJ0yCvSB4Yc5AUorS0M+o6ekBC69VJ+r99/vv+NedthlLN+znEVZi+rcxxjVr0GD4IortDOztBQ+/hhuuHMjro6riN18GoccoqNYn3lG++F/fuV8yqvKueOLR6D/F7y592Y25Gzgx+0/Mr7neP408U/M2TKHrzZ91XjDHeEvLtaJiGbOrDcEIiL8Z+V/mPHFDNJT0jn/kMZNUu8LTrRz/nyd4vKQz5eoA3TZZf45gRX+0BZ+YyCmwD3IqK14/KBiHxnpeT9qlD4Ff6o7c4TMzMbnN994o/6YTjnFP8JfFdqhnvJydRqXLIHnntMYv784b/h5xEfF8+RPT9a739Ch2nH83HOahHXHHVqqyRHtOc+fwA8/wL33aovk3HNh5WdHEi1JLIp7ACORxETGcOH7F7J8z3LG9xjP1WOupndKb2796laKy3332gF1raOi9Anz1FOa21qPg/Huqnc5Z9Y5FJQV8M+T/kl0pP/zSvv105/7jz/CSVtiuPO9XConHqHpUf6gd28VFyv8oUmbFf4DSUrSmbrqE/5t2xov/EcdpTGHkSO1GE1JiWfugyYQ6jH+F1/U6RGffVajaf4kJS6FP4z/A68ve50Xf36x3pCPMerx5+TAn/+s62Zvnk3P5J6MyRhIUpJ21cydq/2uF5wXQ8Wa4yCynKEJk3h+2vMszlqMS1xM6DmBuKg4HjzuQRbvXMzwZ4bzy66GK70u372cN5e/SdmqZeT26EjWMw/B00/rxjl1Zwk9tfAp+qT2IfPGTE4ZeEqjrpGvGKOD4BbNK+PXD37I2k6w7Lm7/Te7fEyM9qO14UFcIS38EREQW2iFH/CkhojonKPeHVMiKvy9etX9+fo45BDtSTvhBD1GEyuFhrrwv/KKftUrrgjM8e859h6OyTiGyz+6nC6PdOG7rd9RVlnG7qLaC4I5UTmXuJi9eTbH9T0OU0tv8iuvwE2nnQjA1UefwTnDz2HOxXO4evTVTMqYBMC5w8/l20u+paKqgmlvTavznKClk8+edTbn//d81v/wCd/F7mbMqhtYfeYkOOQQSr74FJe4qHRVkpnvKbG1au8q5m6dy1WjryIyIrLO4zeJnTu1OfTQQwBMGOdi9Lo3id+Tw4wpsKLCzx2xbTylM6SF3xiIL3JPLtLWhf/ww9VFXLlSBfqiizzbcnI0LbOpQ9mHD9fl3LnakX788TXLJPpIKAv/mjX63Lz44sBV946KiOLD8z7khWkv0C62HRe+fyETX5pIvyf6sXTX0lo/8/C8h5n+9nRySnI4rs9xte4TGQl/Pf1cbj7iZi4aqTH1ib0n8swpz5AQ7Zl1/aj0o/jovI/Yt38fI54dwa1f3cqC7QsY/dxorvn4mupWyKxVs1izbw23jL+JQXmRDJo4DZe4OPXtU9kxeiAy73sefvoCbnjhTPo90Y+Ve1ZywX8vYOSzI4mJjOG3h/22VjsbTWGhOhwul3ZqrF6t/QwTJnDrzFj+zo3k9xnBNwOiWLW3keNaGqKNCz8iErJ/8fGj5ZVhD4qASGGhtGm2b9frcMEFuoyOFikoEHn3XZEFC3TdrFlNO3ZFhUhMjEhyssjs2Xqsxx5r9GGOePEImfzq5KbZEGD+9CeRyEiRnTtb5nzzts2TiDsjJO6eOOn6SFfp+VhP2ZSzqXp7Zn6mPPHjE8JMJP6eeIm/J152Fe7yy7l/2PaDnPb2aRJxZ4QwE4m5O0aYiVz10VVy2QeXSdrDaTLkn0OkcsN6/V8//7x8tv4zYSZyzgVxug5kTjrCTKTzQ52FmcgVH14hP2b+2DzjsrNFli4VKSsT6dFDZMwYkfPO03P+/e8ihx8u0rmzVFx4qWyP6CWXpX0oQ54YLtPenOaXa1PNXXfpOYuL/XvcEAFYJPVoa9DFvb6/hITR8m6fm0ViY0VcrkBcn/Bi5MjqH6WAyMUX6/K003T5009NP/att4q85p5K4dBDRSZObPQhRv1rlJz0xklNtyFA5OToM+2MM1r2vB+u+VAW7lgoS3YukdQHUiXt4TR57IfHZNqb04SZKqrHv3a8lFaUSs7+HL+ff9WeVXLLl7fIun3rZPpb04WZSKeHOsnxrx0v8zPn6/8bRL79VkREprw+RZJvRfb27Sab0mKkItLIU+//Wd4ehsyaPlBcmzc336iTTxaJixN58009d2SkiDEid9+tv/Hycv0TvZ3j4kQSLjpb0u7p1/xze/P223r+pUv9e9wQIayFPzFxtHzW7VKRnj0DcW3Cj9tv13/Z8OH6MHQeANHRutzlH49R7rpLf4xZWY362LCnhsmv3/l148/30Ucil15a/YP3NzNnBv83vmrPKhn45EBhJpJ0X5Lc+c2d8uGaD2V/+f4WOX95ZblkFWSJy3Ggvv1WVfWQQ0RKSkREZGveVnl43sNSUVUhZZ9/KgJSNWWKCIgrMlKkf//Gtbzvu0/khhtENm4U+b//E/nkE8892769SGKiyKpVIj/W3YqYO1ekxzn3CTORS9+8Wcor/XSPLFmidvznP/45XogR1sLfrt1o+a7DNPV0LfoDAZE77xSZPFlfJyXpMiZGpKrKP+dZuVKP+be/qReW45s32u8f/eQ37/2mcedavFgkPl7P99RTUl7u38ZdRYVIhw4i06f775hNxeVyyZ6iPZJXkhdcQyoqRAYOFBkwQGTPntr3KSnRBwNoOGbuXJGICJHzzxeprGz4HNu3i0RF1WyhgkiXLiKjRunrs8/2ydwtWUUSMf0KYSby5IInG/FF66GwUG245x7/HC/EaEj4Q75zN7msDZVraIhx47SWwPXXa4J3nz5aTB40G8df6W5Dh2q+4113af2CtDQtkFUP5VXl7CjcQZfERpSOrKzU8pedOsH48cgdd7CowxSeG/scsiOL8ouvoHRdHZPWbtmi+ZlSf42aBQu07/uCC3w3K1AYY+ic2LnZ9WyazVtvaf7+gw/WPTAyLs4z+cDll8OvfqWDu954Q6fMKi7WBIBVqzQFePJkrbPg8NxzOhDs3XfhkUd0qPSMGfo/+8MfdJ8zfCvxkN4tkUs6PkfEzjH8c8EzuMRFSUVJ078/aIp0jx4BmYI0LKjvqRDsv5SU0bIlZoDIuecG4qHYOli1Sj2XSZP8e9yKCo2RuJv68vzzNbeXltZ4+8O2H4SZyHur3qv9eLt2ibz0ksiOHSKffab2OqGr998XWbhQKqNiJJ92UkCSfNf+FBGQBYyVl29eKZXbd8qiL3NEpk3T8EHPnvrZ77+v92v87W/qqPrYaGkdlJZWh28OorhYpF8/bUU31LR65hmRtDSR/HzPumef1TDgOeeIZGSItGsn8vjjHo/+0Uc1RNili8hJdfT3VFVpeK8RLdTFi0U47EVhJjLwyYGS/vd0qazyoeVRH8ceKzJ+fPOOEaIQzqGe9u1HS25Ee5HrrgvEtWkduFwivXqJXH213w5ZUSFy+ul62ffsdol06qQdyc75nn5aQ0snnSTi7vB76PuHhJl4MlMqKkSuuUYzjWbNqm72b4kfJLnRnTxCMXq0iMslLpfIuENL5cQ+q6WSCBGQ9T2Ort6vIjpOljFcqiKjtEOwQwcNRTj3xtatIu+8c9B3GT9eZMIEv12a0Cc7W4X9tNNq337ddXpNZ89u+FguV+1hHeeBHROjD4GICA0bOUkGMTEavps3r3nf5QBT0vsXS/TtqWJmGmEmsjhrcfMOevXVIqmprTJxJKyFv2MHdyxw5sxAXJvWw/btNb2yZvLkk3rZjRHp3Vuk7KTTVExERB56SDcefrh6e8OHi1RWyo13/0rmDk7Q/Y4/XkXfLQKu5GTJ6jVWfhv3hpQQK/uJk78e8r4sTj1Gfn7iOxHRZwmIvPiiSOXvrpPK7j1F8vLkkxu+kAt5Vb6IOlEE5MVj/y1bvtsmG+du1zSdrl1F9u1T4QHNFikvl4ceqJIjjhCJNWXyza9ur85cCTnKymqmFHqLUEVF44910klSnS2ze3fN7T/8oNtuuKHp9jp2XXONphKffbZUp2JWVWkrYcoUkeXLm3eOWrj+epGYHqvk2w0LhJnIw/Mebt4B//53tb2ufo4wJqyFf2h0spr4z38G4tqENbt3i3z6qb4uKam71VxeruGOf/1LJDf34O05OaoDK1fq+y1b1JmePFl1IiZG5IUhj+j/4YsvdMXpp+sJ33lHBMR15hlSZZC8lDiR3/xGMzZAyk8/SwrS+kmhSZK+bJBTThHZMesHefGib8QYTbFMS9MHTXS0alZVlaj47ddsl+xsp7HgkuGdd0lqqjZA0tNFqt7S81d27CxVUdFSNmCouBITpSw6Qd7gPOnbvUQ+QkNG0rmzXrSqKs3oyMoSKSrSh2ZTqcsjbgwnnaQZWr/6ledhOm2ayAcf6GsnxbYh9u0TOfJI/a6//70ur7tOmzyOd3/66frPLSpqns3ebNwoctFFfnU86uKrr/RrffCByKAnBzU/ddjJMvr6a/8YGEKEtfAfEhkvn0VPE9mwIRDXJmyprFSNAJFbbtFw6rHHHhzWdblErrhCqqMqffqI/PKLJjJs2aLbTz9dt6WkiFx2mYpxUpLHYXviCZGxLPB4kWlpInv2qN5VVYkcdpgIyCf9kdfnPiUiIis+3y5/jn5IkiiQjuyVqf3Wy2ef1bStqEgfNgkJUh3xqSsOP326Ovbvv+/5LiDyyaz98n3aafIuZ8gpfCh92SA/MVZmc4w+kAYP1h1vvVUfWBkZnr4B77+xY0VOOUXj176yd6+K6vHH+/6ZA3FSCidNEjniCP0nOoOZnCZXYqI+cP/3P82oSU5W11fEk3Hlcum2mBiRt97S90OGeI7ToYOG24wR+ctfmm5vkCkv99yn13x8jSTdl9S89M68PL1mf/yj32wMFcJa+NPSRktSUiAuS/hRWamivWiRyLXX6n9u4EBddnKHzNPT1bHt1Utk6FB9DSJ//rM6NU7mp/NZJxpz880i48appp90kjpxDi6XyLG/Kpd5kb+S4tPOE1m1StauFenUuUpG3D9NLr97nDxxQnsZ+Ei6FJZpjve112r4/Z579Lz19eEtWCAyZ079YdbsbA3hV1Sovr31luphYqKGl++4Q3Xx2Wf1Nzx3jvvJGBEh8sorepC331aRPussjSc9/LCOV7j/fhXwfv30Ytx9t6YuHn+8dlTWxp49eoGdi/n99/pUqs3rrao6OPf955+1GTZlin6JA594Dz2kIbQffqhuPVULuPPEnzZNWwTOgwtqivpjj+k//K23NI7tjPdo5NiMUOOcc9TReWf5u8JMZM7mOc074CmnaDyzlcX5w1r4u3YdLdHRgbgsoUlZmf6ee/XS8LU72iGbNqlD6O2kXnKJ6swdd6j3/sorqlVXXKHbzjhDl2+84bmnv/lGHcqXX1ZHx4kGNJRcsXatSGy7IsnIUI2bNk2EkS8JM5GombHCTOSZz2fLs8+qZnbs6HOKdpO56CLPQ6tWcnP1SekrFRV60bwvcmysZp+ccooOI/36a31YjBqlT7aPP1ZhdoT1zDMPPu5ll+kFWbdO5JFHPOEY58/x3usiK0tDErNnq8tbUaEthNhY7XD/y1/04dGzZ80Qjsvl6TvYvl0fTA1kQIUDb7yhl23O90XS8cGOzS/l8MoresAFC/xjYIgQ1sLfrdtoAf+NSwp1HnhA/yPTp2urfOpUdf6Sk/XvySe1xb5pU4OHapD580UWLvRt3w3ZGyTh7nbS7td/Ur3qOV/i/tZRIq+YKLTbIZF95x4UPfnoo+bbWB8rVmiLxXk4+oWqKs1EeeUV9cqdp6OTqeK8jo9X0RcRue02XTd+vFT3Rzlx/+++q/kZZzDUXXdpf8MPPzStVkxZmYYpHLKymtdXEUbk5GjE8c9/Fpk5Z6YwE1m+uxkdybm52hJystZaCWEt/D16qPDXlZLcWti0SVv+iYkip56q655+Wm9w0LI5/iiT0hhyS3IlqyBLSipKqmvLmJlGxtx3gZg7IqX3Y+ny/nerZeFCLXz2979ryOaYY0T69g1Y9YWW5c47NVto3jytMXPbbRq28R7DUF6uI6orKjzefGKihmGiorT59p//aJjGJin4hUmTNFSZmb1PEu5NkN/+77fNO6Dz8H73Xf8YGAI0JPxG9wlNevUaI9u3LyIvD1KCPNjRXxQU6IRH8fGwfLkOiL38csjNhdGjdaBjerruW1wMe/dqtWV/Dcqtj6zCLD5Z9wmbcjfx+ILHKa30TMryt6P+xmvLXmNb/jauHHUlDxz3QK0jUEV0pqvY0J6B0XdEfK/jXFkJH3yg5a0jI/UffcEFMGJE445jqZf339dBv5MnQ69rr+CdVW+S9cespo+IrqjQUcrr1sHSpZ4fYBhjjFksImPq3B7Kwt+79xjJzFzE7t1aNSBcmTNHZ7ObOhVOPllHso8dCx99pNv79oXPP4f+/YNn497ivYx/YTyb8zYDOrHH0elHk1OSQ4SJYMbhM9hTvIfSylL6degXPEMtFuD553VS9nteWsjt28bx9ElPc83Ya5p+wE2bdCa6ESPg229rTn0ahoS18GdkjJGtWxeRmakzpYU6q1frPZOS4pkn/aqrtGyJQ0qKevCrV8Nf/6rzq4wb5/8WzatLX2XFnhU8cNwDB82WlF+aT3JsMnv37+XT9Z+yLX8bby5/ky15W/jkN58wLG0YXZO6+tcgi8WPVFVB164w9QRh5ZGjyCnJ4d2z3mVcj3FNP+jLL8Nvf6vzc55wgv+MDQINCX9USxrTWJyWcVlZcO3whbffhgsv1NY+aH2zs89W0b/+ejjnHHj4YZ3ffMIELRzWpRH1zBpixZ4VLMpaxMWHXsyKPSu44qMrqHBVUFBWwCUjL2HJriV0S+pGYkwip7x5CoM7DSazIJO80jwAxnYfy3tnv8fkvpP9Z5TFEiAiI1WbP/vM8PfLnuLG+Wcx/oXxdEnswounvsjJA09u/EHPOw9+/3v43//CXvgbIqQ9/n79xsimTYtYuVILRrYk+/ZBx441w7KPPKLFDKdN00myr74a+vWDO+6Axx/XAoYvv6xT1s6Yoa3HUaPgxx8986sGxNb9+xj57Eh2FO5gar+prM9ZT2FZIWcMOYNnFz9bY99IE8mAjgNIiE6gc0Jn7j32XgZ2HEi72HaBM9BiCQBvv61aHRsLEpvH7e++yutrn6JKqlhz7RqiI5vwozvrLPj+e9ixo2U61gJEQx5/0DN36vvr10+zen7+2Z/93Q2zbZuOKL3qKs86Z3bDmBh3Hjs6PqZjR3191VU1M/OKinT8j/dgqMawaMciGf/8eJmzeY7sLNwpP23/SV5d+qpMfX2qzp4kIsXlxfL6L6/LuOfHSczdMfL7T38vcffEyWHPHiazN80Wl8slS3culY/WfiRr962VB79/UI586UjJzM9sxtWxWEIDJ7WzUycdq3fzzTrrGTORv339N1m4w8d8ZW+cgQI//OB/g1sQwjmrZ8CAMbJhwyLmz9fwSH189RVkZdWcg7ypzJgBjz2mr++9V738f/0LMjN1TvOiIp20e/NmSE7WkvhjxzbtXCUVJURGRBITGUOlq5JXl77Kkb2P5LbZt/H+mvcxGATP/yjCRNC/Q3/+MO4P/HXOX8ktzaV7u+48eNyDXDDiAlziIsKEr6disTSGTz/VVvedd2pC1QknCssnjGN98SIAHjn+EWYcMcP3A+blaefBuefCK68ExOaWIKw7dwcNGiPr1i3im2/g6KPr3q+gQDNi8vJUjF94AU49FQ47rOFzbNgAd9+tc0oMGQLjx2uH7NSpOtfHIr1/iIiAV1+FkhJ9CMye3fgOWRHhvPfOI680j7uPuZthacM45JlD2Fm4kzHdx1BYXsjSXUvpmdyTrMIsrh59NcmxyaTEpTA8bTjt49pTXFHM1H9PBWByn8ncftTtHJV+lBV7S5tm82b43e80RXpHTjbHnbea4uFPMr/gP9w44Ubum3wfcVFxvh3sppvU81uyBA49NLCGB4iwFv7Bg8fI2rWL+PxzmDKl7v1uv109c2Ng8GDNmElL08mCYmM1RffTT1W0Tz1Vs23uvVfTdj/9VNN4Bw3Sm6asTEV+8WIYNkzFPz4e2rVrfubNCz+/wBUfXUFidCJlVWVM6TeFT9d/yiUjL2F99nrySvM4Z9g53D33bqqkio1/2EhGasZBx7nvu/sAuGXiLQdl7FgsbZmSErjtNnjtNcjNr+Cw225kSfRTdIzvyLC0YazZt4bXT3+dKf3qEZTcXG1GJCZqJ8K99wa2ky4AhLXwDx06RlavXsRHH8Epp9S+z7p1+lA+7TQNwXz8MUycCCtWQH6+7tPr0A1k/tIPMHTvrgOlPvpIZ17r0QPefFP/z0VFsHWrhm969Wqe7YVlhdz+9e0UlRcxtsdY0hLTuPSDSxnVbRTvn/M+U/89lZ92/MR5w8/jzTPerPHZWatmsaNgB9dPuL55RlgsbRSXC667Dp55BujzNcmTXqT/uPXsKdlJpIlk7qVzAeid0rv2A3z1lWZzfP65Cv+f/9xyxvuBsBb+tH49ZO+m7cyaZTjjDJg1C269Ff75TxXmL7/Unv21a2HlSo3B/+538N//alrlL7/A/7a8wuuFlzKVR/nD2D9y330wb56mVT76aPMGU1a5qvh558/s27+PI3sfSbvYdizZuYSvNn3FrNWzWJy1mM6JndlVtAuAEV1G8OG5H5Kemk5OSQ6P//g41469li5JfszrtFgsgIr/rFmaoHPLLZoZ2HXCXD7vpnHjKIljzKrZPHBrX9LTUikrjmPQoAMOcvbZ2nmweDEMH97yX6KJhLXwm+5GqFjNOZMHk5sLX3yhYZqkJBX2oiLd77XXNIf+QH7c/iNHvXwUFa4K+qT2Yf3v1xNhItm4Efr2FYyBSlclP+34iUO7HkpSTBIAFVUVfL/te4anDScxJpF52+aRW5rLwh0LSYhOYHjacJbvWc6LS14kqzALgJjIGI7vezyfb/ycSlclidGJ/PvX/2b6oOkszFrI6r2rOXf4ucRGtZZaBhZL+PDWW9oBXFAAO3s8A4l74dDXIWUrRFZgitOIWjiDHx79I2NGeQ1v2r1bQwoxMfDNNzrMPgwIf+Hv/Q9Y8AcGDdKH77nnwhFHQPfu+jSH2nP8y6vKGfnsSPZX7Oe2I2/j6k+u5vlpzzOw40CW7lrKXd/eRUpcCvFR8azcu5L4qHguH3U5GakZPPLDI+ws2klqXCrxUfHsLNoJQGxkLBWuClziAmBqv6lcOOJCuiR14X9r/sdbK97i6PSjefrkp+kQ34GYyJiWulQWi8UHRHR8TWkpuFI2cfP/3ca37x5KTP/vKEj7P2L2jOedq+5h+iGTMU444JdfNLskP18H5tx0E5x5ZkjH/cNa+ON6x8lhNx/Hayd8zIABnvW7d2tna0KCZ12lq5JKVyVREVEs2L6Afy3+F68ve51PfvMJx/U9jvTH06tDLgBHpR9FRVUF2SXZzDh8Bgu2L+CVX17BJS6O7XMslx12GW+veJvSylL+MP4P9EruxaBOgyipKGFL3hb6tO9Dalxqy10Mi8USEIqKVEvu+/Bt/jrvBkjazVWjr+KZk5/xiP/69epp/vvfsGqVpnz+5S9w7bUhWXwvrIU/bUCa7L90P5uu38T/1vyPjTkbmTZoGod1PYw3l7/Jij0rGJY2jFmrZjEvcx77K/YTHxVPSWUJESaCa8Zcwz9P+icAy3cvZ82+NXSI70BaYhrD04Z7/qlunMyasT2amJRvsVjCmtPOLOWzstspH/MoJ2b8munDpnD2sLNpH99ed3C54JNP4B//0Jzu00/XMg+TJoXUAyDkhN8YcwLwDyASeEFEHqhr3/7D+8vGszYSaSKpkioiTER1mAUgOiKaClcF6SnpTB80nU4JncgpyWFi74lM7jPZ88+yWCwWH1i2DA49VOC4W2HUC5CQQ0JUAuePOJ9rx17LoV3def0uFzzwANx/vzYZxo3TOtHJyVrlc/LkoIaCQkr4jTGRwDrgeGA7sBA4T0RW1bb/qNGjJO3GNAZ1HMRFh17EwI4D+Xzj56zYs4LDuh7G1P5TWZe9jmGdh9l8dovF4he+/hoKC+HzL4R/fbCE6COepnLIm1RFlNAvZSAVVZWUuArpldKLE7sdza+XlDPguf+QuCeXiAqt0ujq2gXp2hUSEzFjxxIxZixSWQm7d2MiIrQ+e2KinmjzZk1LPOoofYD4oSR0qAn/4cBMEZnqfn8bgIjcX9v+Y8aMkUXO0FmLxWJpYZYt0/LpyzfksDnlFUifC+WJmMokTOc1uLrPh8iK6v2TS+HoLXDRLxBXCR1KYNROiKvy7XxVBvJjIhBjMCI4wSMjYHD/CRiket2B2z8acwRnLZgXUmWZewCZXu+3A+O9dzDGXAlcCdC7dx2DKywWi6UFGDFC0/ihAz/99Ee+++6PpKaqk75/P0RWFZMXuZxYksmTTPJitlI+oJJn+1ZQUFxJeWUFsTGF9CxahyuqPflxHYndn8fYjWupoIKCaGFPYjzbUrtzROZW+uTto12ZZ+Y7jKmu1CVG/1T23e8x7nWA+73rsNGwYF6936ulPf4zgRNE5HL3+wuB8SJyXW37W4/fYrFYGk9DoZ6Wruy1A/AuhtDTvc5isVgsLURLC/9CYIAxpo8xJgY4F/iwhW2wWCyWNk2LxvhFpNIYcx3wOZrO+ZKIrGxJGywWi6Wt0+Jz7orIp8CnLX1ei8VisSh29g6LxWJpY1jht1gsljaGFX6LxWJpY1jht1gsljZGSFfnNMYUAmuDbUcI0AnYF2wjgoy9BvYaONjr0PA1SBeRznVtbPGsnkaytr7RZ20FY8yitn4d7DWw18DBXofmXwMb6rFYLJY2hhV+i8ViaWOEuvA/F2wDQgR7Hew1AHsNHOx1aOY1COnOXYvFYrH4n1D3+C0Wi8XiZ6zwWywWSxsjZIXfGHOCMWatMWaDMebWYNvTUhhjthhjlhtjlhpjFrnXdTDGfGmMWe9etrpZ5I0xLxlj9hhjVnitq/V7G+UJ972xzBgzKniW+486rsFMY8wO9/2w1Bhzkte229zXYK0xZmpwrPYvxphexpg5xphVxpiVxpjr3evb2r1Q13Xwz/0gIiH3h5Zs3gj0BWKAX4Chwbarhb77FqDTAeseAm51v74VeDDYdgbgex8FjAJWNPS9gZOAz9ApRicAC4JtfwCvwUzgplr2Her+XcQCfdy/l8hgfwc/XINuwCj363bAOvd3bWv3Ql3XwS/3Q6h6/OOADSKySUTKgbeB6UG2KZhMB151v34VOC14pgQGEZkL5Bywuq7vPR14TZQfgVRjTLcWMTSA1HEN6mI68LaIlInIZmAD+rsJa0Rkp4j87H5dCKxG5+pua/dCXdehLhp1P4Sq8Nc2KXt9X7o1IcAXxpjF7onnAbqIyE73611Al+CY1uLU9b3b2v1xnTuM8ZJXmK/VXwNjTAZwGLCANnwvHHAdwA/3Q6gKf1vmSBEZBZwIXGuMOcp7o2i7rs3l4LbV7w08A/QDRgI7gUeDak0LYYxJAt4DbhCRAu9tbeleqOU6+OV+CFXhb7OTsovIDvdyD/A+2lzb7TRf3cs9wbOwRanre7eZ+0NEdotIlYi4gOfxNN9b7TUwxkSjYveGiPzXvbrN3Qu1XQd/3Q+hKvxtclJ2Y0yiMaad8xqYAqxAv/vF7t0uBj4IjoUtTl3f+0PgIndGxwQg3ysM0Ko4IF59Ono/gF6Dc40xscaYPsAA4KeWts/fGGMM8CKwWkQe89rUpu6Fuq6D3+6HYPde19OrfRLak70R+Euw7Wmh79wX7Zn/BVjpfG+gIzAbWA98BXQItq0B+O5voU3XCjQ+eVld3xvN4HjKfW8sB8YE2/4AXoPX3d9xmfvH3c1r/7+4r8Fa4MRg2++na3AkGsZZBix1/53UBu+Fuq6DX+4HW7LBYrFY2hihGuqxWCwWS4Cwwm+xWCxtDCv8FovF0sawwm+xWCxtDCv8FovF0sawwm+xWCxtDCv8FovF0sb4fwamoYdtdVX/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import cv2 as cv\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "img = cv.imread('../data/home.jpg')\n",
    "\n",
    "color = ('b','g','r')\n",
    "for i,col in enumerate(color):\n",
    "    images, channels, mask = [img], [0], None\n",
    "    histSize, ranges = [256], [0,256]\n",
    "    histr = cv.calcHist(images, channels, mask, \n",
    "                        histSize, ranges)\n",
    "    \n",
    "    plt.plot(histr, color = col)\n",
    "    plt.xlim([0,256])\n",
    "    \n",
    "plt.legend(('b','g','r'), loc = 'upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52630ae0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
